how to identify a fitglm output as being rank deficient from the resulting object

2 views (last 30 days)
Will Kinsman
Will Kinsman on 24 May 2016
Answered: Tom Lane on 24 Jun 2016
My question is as follows:
I am running a very large number of multivariable regressions. My problem is that sometimes these are identified as being rank deficient regressions. I am totally cool with that, but I would like to be able to identify them as so once my loop is complete.
Is there a way to identify if a regression is rank deficient from the object that fitglm outputs?

Answers (1)

Tom Lane
Tom Lane on 24 Jun 2016
If your model is f, you could see if
f.NumCoefficients > f.NumEstimatedCoefficients

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!